{"id":"W2072386877","doi":"10.1258/jtt.2007.070702","title":"Automated telephone reminder messages can assist electronic diabetes care","year":2008,"lang":"en","type":"article","venue":"Journal of Telemedicine and Telecare","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Diabetes mellitus; Randomized controlled trial; Family medicine; Medical emergency; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217367,0.0001992858,0.0006011266,0.0002218527,0.0001453515,0.000009288541,0.0001436646,0.0001109057,0.0003568239],"category_scores_gemma":[0.0002289093,0.0001408046,0.0001081441,0.0003555499,0.000186512,0.00008450834,0.00002446881,0.0005601703,0.00003186969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113153,"about_ca_system_score_gemma":0.0006311813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001252044,"about_ca_topic_score_gemma":0.000007931933,"domain_scores_codex":[0.9981735,0.00004254728,0.0005929801,0.0001926202,0.0006065539,0.0003917786],"domain_scores_gemma":[0.9983385,0.00007483699,0.0003849778,0.0001941236,0.0006638083,0.0003437289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002377541,0.0002215449,0.749767,0.0005172765,0.0004805445,0.0008944428,0.002655404,0.000002594076,0.01513235,0.00003517773,0.1996935,0.03036243],"study_design_scores_gemma":[0.006982961,0.003004249,0.8680851,0.001087872,0.0005453962,0.004445941,0.006148137,0.0001817568,0.01682521,0.00008174557,0.09224346,0.0003681993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816039,0.01210417,0.00004104942,0.004299021,0.0001493725,0.0001939954,0.000005152389,0.00008070344,0.001522597],"genre_scores_gemma":[0.9943994,0.002038793,0.0004595283,0.001754518,0.0005309157,0.000007593929,0.0000188766,0.00002186122,0.000768516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183181,"threshold_uncertainty_score":0.5741843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494700353297297,"score_gpt":0.274621254828787,"score_spread":0.259674251295814,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}